Machine Learning is a science that enables machines (especially computers) to learn from environments and make own decisions.

Research Activities

  • The Machine Learning Laboratory (MLL) carries out research and develops different theoretical foundations for machine learning such as:
  • Reinforcement Learning, Deep Learning, Statistical Learning Theory, Multi-agent Systems, Game Theory and Mechanism Design, Blockchains, Explainable and Fair AI
  • How machines and multi-agent systems should help in planning activities by learning from environments
  • How learning gets affected if different machine learning and multi-agent systems algorithms are trying compete instead of cooperating
  • How machines should learn in the presence of noisy environment or partial supervision
  • Role of deep learning in planning, reinforcement learning, AI in game theory, blockchains and its applications
  • For more details: Research Projects

Recent News

Our Paper ‘Human-Machine Collaboration for Face Recognition’ got best paper runner up award at CoDS-COMAD 2020
Our paper got accepted in INFOCOM 2020
Three of our papers got accepted in AAAI 2020
Three of our papers got accepted in AAMAS 2020, NZ

Contact Us

Machine Learning Laboratory,
Kohli Research Block,
International Institute of Information Technology, Hyderabad
Gachibowli, Hyderabad 500032